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Sena shows why parcels stall at doors

Sena Decision AI shows parcel and freight teams why deliveries stall at the door and which options receivers value. Every figure traces to a door photo, a receiver answer, or the team's own files.

  • 190+ countries
  • 5M+ consumer network
  • 250+ integrations
Live readingsExample parcel
Delivery points with access issues
59
Entry, parking or signage
Top option receivers would pay for
Locker
37% would pay for one
Late areas by cause
Access
Behind 5 of 9 late areas
Monthly parcels at those points
1,534
Parcels a month at 59 points
every figure opens a dated door photo or receiver answer
AT THE DOOR

The last meters decide the delivery

Shipping analytics reads route, scan, and cost data from the carrier's own systems. The door adds the entry rules, the parking, and the receiver's preference that decide whether a parcel lands on the first attempt.

Failed attempts cluster by building

Scan data shows each failed delivery attempt by address. The building shows the cause: a locked entry, a far curb, or an unmarked unit.

Sena:Sena captures geo-verified photos of the access conditions at the delivery points a question names.

Receivers weigh doorstep, locker, and pickup

Delivery data shows where parcels went. Receivers know where they would collect them and what they would pay for speed.

Sena:Sena captures consented input from receivers on the delivery options they value and would pay for, by segment and market.

Areas run late for local reasons

Route data shows which areas run behind. The cause sits on the street: building mix, access rules, or receiver demand.

Sena:Sena reads the team's route files by area beside door photos and receiver answers, so the cause reads as access, demand, or route.

The decisions

Four shipping analytics decisions

Shipping analytics covers the route, and these four decisions add the door and the receiver.

Decision 01

Cut failed delivery attempts at the door

Sena captures the access conditions at the delivery points a question names, from entry rules to parking, so a team splits door issues from address issues.

Decides:Which buildings need new instructions, timing, or a pickup option.

See last mile delivery optimization →
Decision 02

Find why one area runs late

Sena reads route files by area beside door photos and receiver answers, so each late area splits by cause: access, demand, or route.

Decides:Which access, demand, or route fix each area gets first.

See supply chain decisions →
Decision 03

Price the delivery options receivers value

Receivers state which options they value, from speed to time windows and pickup points, and what they would pay, by segment and market.

Decides:Which options to offer, and at what price.

See revenue and pricing decisions →
Decision 04

Place lockers and pickup points where receivers want them

Receivers state where they would collect a parcel, by segment and market, and Sena captures geo-verified photos of the access and signage at each candidate site a team names.

Decides:Which sites get a locker or pickup point first.

See strategy decisions →
HOW A TEAM CHECKS EACH DOOR

Each door figure traces to a photo

Sena ties every figure to the photo or answer behind it, so a team checks each area against its own shipping data analysis.

A geo-verified photo per delivery point

Each access reading carries its photo, location, and date.

Consented input, checked before it counts

Each answer comes from a receiver who chose to share it. Every capture clears a multi-level QA flow. Sena declines a capture that misses the check, and the decline stays visible.

FIRST ATTEMPT GAP

Count the points losing first attempts

A low first attempt delivery rate traces to two counts: the delivery points in a zone and the points a photo confirms with clear access. Sena captures the second count at the delivery points a question names and splits the gap by building type and access issue.

  • Apartments, offices, and houses counted separately
  • Each access issue named: entry rules, parking, or signage
  • Parcels through each gap, from the team's own parcels per point
First attempt gap calculatorExample figures
ClearBlocked
Points with access issues
59
Monthly parcels at those points
1,534

The first attempt calculator shows the points with access issues and the monthly parcels that run through them.

A walkthrough on one delivery zone

A walkthrough runs Sena on one delivery zone in one market, from door photo to the route decision.

By team

Which delivery team owns the question?

Pick the closest fit, and the walkthrough starts from that team's question.

How it works

How Sena answers a market question

Step 01 · Capture

Capture

Sena captures geo-verified photos and consumer activity in the markets a question names, when the question needs it.

Step 02 · Read

Read

Sena reads those captures beside the files and systems already in use, across 250+ integrations.

Step 03 · Compare

Compare

Sena compares the market against the plan and shows each gap, with every figure traced to its source.

TWO WAYS TO READ DELIVERY

What door photos add to shipping analytics

AreaCommon methodSena
Failed attemptsScan codes from driversA dated photo of the access at each named point
Late areasShipping data analysis by routeRoute files read beside door photos and receiver answers
Delivery optionsTake-up of past optionsWhat receivers value and would pay for
Pickup sitesParcel delivery market reportsPhotos of each candidate site, beside where receivers would collect
AuditingScan, route, and failed-delivery reports matched by handEach door figure opens its photo or receiver answer

One delivery zone, one market, one decision

Talk to the Rwazi team about one delivery zone, one market, and the decision on the table this quarter.

FAQ

Questions parcel teams ask

01 What is shipping analytics?
Shipping analytics is the practice of reading route, scan, cost, and delivery data to decide how parcels move and where they stall. Sena, a Decision AI with access to real-world data, brings decision intelligence to parcel and freight teams by adding geo-verified door photos and consented receiver input to the data a team holds, so each figure traces to the photo or answer behind it.
02 What is shipping data analytics?
Shipping data analytics reads a carrier's own route, scan, and cost data to find where deliveries run late or stall. Sena adds the door and the receiver beside that data: access conditions in geo-verified photos, and receiver answers by segment and market.
03 What is a KPI in shipping?
A KPI in shipping measures delivery performance, such as on-time delivery, cost per parcel, and the first attempt delivery rate. Each shipping KPI comes from the team's own data, and Sena adds the cause behind a weak one: the door, the area, or the receiver's preference.
04 What does parcel analytics show?
Parcel analytics shows volume, cost, and delivery performance by parcel type, area, and carrier service. Sena adds the door to parcel shipping analytics: photos of door access, and receiver answers on the options they value, from a safe place to a locker or pickup point.
05 What should a last mile delivery analytics solution include?
A last mile delivery analytics solution reads routes, scans, and each failed delivery attempt by address. Sena adds the access conditions at each named delivery point and receiver answers on timing and pickup options, so a team fixes the cause at the door.
06 How do teams read the parcel delivery market by area?
Teams read the parcel delivery market by area through volume, building mix, and what receivers expect. Sena captures receiver answers by segment and market and geo-verified photos of door access and pickup sites, beside the team's own shipping data analysis.
07 Which systems does Sena connect to for parcel teams?
Sena connects to the systems parcel teams already run across 250+ integrations, including Salesforce, HubSpot, and Microsoft Dynamics, and reads uploaded Excel, CSV, and PDF files. Door photos and receiver answers join that data, so one answer covers the team's own routes and the door.